How to use and share Amazon SageMaker Studio Classic notebooks.

Setup domain using the IAM authentication for the users.

Overview of domain

Learn about Amazon SageMaker Ground Truth Plus, a turnkey data labeling service that helps you create high-quality labeled datasets.

Amazon SageMaker Experiments is a capability of Amazon SageMaker that lets you create, manage, analyze, and compare your machine learning experiments.

Configure your Amazon EC2 Windows AMI for faster launching, using pre-provisioned snapshots with Windows fast launch.

To help categorize and manage the key pairs that you've either created using Amazon EC2 or imported to Amazon EC2, you can tag them with custom metadata. For more information about how tags work, see .

To verify the fingerprint of your key pair, compare the fingerprint displayed on the Key pairs page in the Amazon EC2 console, or returned by the describe-key-pairs command, with the fingerprint that you generate using the private key on your local computer. These fingerprints should match.

You can delete a key pair, which removes the public key that is stored in Amazon EC2. Deleting a key pair does not delete the matching private key.

Amazon SageMaker Edge Manager provides model management for edge devices so you can optimize, secure, monitor, and maintain machine learning models on fleets of edge devices such as smart cameras, robots, personal computers, and mobile devices.